ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Mood Disorders
Altered EEG Microstate Associated With Anxiety and Somatization Symptoms in Major Depressive Disorder
Provisionally accepted- 1Department of Psychiatry, Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine, Shanghai, China
- 2Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Objective: To examine abnormalities in EEG microstate dynamics in patients with major depressive disorder (MDD) and to explore their associations with anxiety and somatization symptoms. Methods: We enrolled 30 patients with MDD and 40 healthy controls. Resting-state EEG was recorded and analyzed using microstate segmentation (classes A–D). Temporal parameters (mean duration, occurrence, time coverage, and transition probabilities) were compared between groups, and correlations with clinical symptoms (HAMD, HAMA, MADRS) were examined. Results: Compared with controls, patients with MDD exhibited a significantly longer duration, higher occurrence, and greater time coverage of microstate C, while microstate B showed reduced occurrence and coverage. Transition probability analyses revealed fewer transitions from A to B, A to D, B to A, B to D, and D to A, and more transitions between C and D. Symptom correlations indicated that microstate B occurrence was positively associated with HAMD anxiety/somatization scores, while transitions from C to D and from D to C were negatively correlated with anxiety/somatization scores. Conclusions: MDD is characterized by alterations in microstate B and C dynamics and disrupted transitions between C and D, some of which relate to symptom dimensions, suggesting that EEG microstate features may serve as potential neurophysiological markers in major depressive disorder.
Keywords: Anxiety, EEG microstates, Major Depressive Disorder, Resting-state EEG, Somatization
Received: 20 Dec 2025; Accepted: 10 Feb 2026.
Copyright: © 2026 Shan, Wu, Xiong, Guo, Hu, Zhang, Qian, Zhang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Tianhong Zhang
Xiaohua Liu
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